의사결정나무를 활용한 실시간 온라인 한국어 강의에서의 학습자 만족도 분석

• 영문명: An Analysis of Learner Satisfaction with Real-time Online Korean Language Lectures Using a Decision Tree: Focusing on Factors of Interaction
• 발행기관: 국제한국어교육학회
• 저자명: 민경아 박서욱 유동희
• 간행물 정보: 『한국어교육』32권 1호, 131~150쪽, 전체 20쪽
• 주제분류: 어문학 > 한국어와문학
• 파일형태: PDF
• 발행일자: 2021.03.31

영문 초록

This study identified factors of interaction influencing the satisfaction of 74 foreign learners with real-time online Korean lectures using a survey design. The study developed two types of prediction models for satisfaction with learning effects and satisfaction with lectures using a decision tree algorithm, which produced the best accuracies of 75.0% and 87.5%, respectively. Four common influential factors affected the two types of prediction models: gathering feedback on assessments, providing appropriate time, identifying the learner’s learning status, and providing interesting materials. In addition, this study developed four rules for satisfaction with learning effects and six rules for satisfaction with lectures from the prediction models. Using the derived rules, this study proposed helpful directions for enhancing foreign learners’ satisfaction in real-time online Korean language lectures.

목차

1. 서론

2. 실시간 온라인 한국어 강의에서의 학습자 만족도와 상호작용

3. 실시간 온라인 한국어 강의에서의 학습자 만족도 분석

4. 실시간 온라인 한국어 강의에서의 학습자 만족도 분석 결과

5. 결론

참고문헌

키워드

실시간 온라인 한국어 강의 한국어교육 상호작용 학습자 만족도 의사결정나무 real-time online Korean language lecture Korean language education interaction learner satisfaction decision tree